Magic Master — Audio Mastering

Name: Magic Master — Audio Mastering
Author: denisok-ai

作者：denisok-ai版本 0.5.0i★ –i电脑或云端

注册名称pro.magicmaster/mastering

安装

概览

作者提供的说明（英文原文）

Audio mastering for AI agents: LUFS/True Peak targets, Suno/Udio AI-fingerprint removal.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 设计、图片与音频

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://magicmaster.pro/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "mastering": {
      "command": "npx",
      "args": [
        "-y",
        "magicmaster-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http mastering https://magicmaster.pro/mcp

或者在你的电脑上运行

claude mcp add mastering -- npx -y magicmaster-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "mastering": {
      "url": "https://magicmaster.pro/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "mastering": {
      "command": "npx",
      "args": [
        "-y",
        "magicmaster-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "mastering": {
      "type": "http",
      "url": "https://magicmaster.pro/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "mastering": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "magicmaster-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://magicmaster.pro/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过域名 magicmaster.pro 验证（注册中心会核实域名所有权）
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“设计、图片与音频”中的其他服务器比较i

星标数多于此分类中其他 2162 个服务器的 0%
发布到注册中心的时间比此分类中其他 2162 个服务器的 28% 更新
基础检查结果等于或优于此分类中其他 2162 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Magic Master — Audio Mastering 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.5.0）于2个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者：GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新

安装

Claude Real Video

作者：HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新

安装

Figma MCP Server

作者：figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Magic Master MCP — audio mastering for AI agents

Remote MCP server that lets Claude, ChatGPT, Cursor, VS Code, Claude Code, OpenAI Codex and any other MCP client master audio: hit a loudness (LUFS) target with True Peak limiting, remove the Suno / Udio AI fingerprint, compare presets on a 24-second preview, and master a whole album with consistent relative loudness. Results come back with measured numbers and a mastering passport in the chat.

Server: https://magicmaster.pro/mcp (streamable HTTP; protocol revisions 2026-07-28, 2025-11-25, 2025-06-18)
OAuth endpoint (for clients that cannot send headers, e.g. Claude Desktop custom connectors): https://magicmaster.pro/mcp/oauth
Agent playbook: https://magicmaster.pro/agents.md · machine manifest: https://magicmaster.pro/agent.json · OpenAPI (public subset): https://magicmaster.pro/openapi-public.json
Human page (RU/EN): https://magicmaster.pro/mcp
Service version: 3.15.0 (as reported by get_service_info)

Nothing to install: the server is hosted. This repository holds the connection recipes and a small stdio bridge for clients that cannot speak HTTP.

Tools

The server exposes 11 tools. Descriptions below are condensed from the live tools/list; the live text is authoritative.

Tool	What it does	Cost
`get_service_info`	What Magic Master does, what is free, what costs a token, and where the rules live. Call once at the start of a session.	free
`list_presets`	All 24 mastering presets with their target loudness in LUFS. Gives the exact keys that `master_track` and `batch_master` accept.	free
`get_pricing`	Live token packs and payment methods (RUB). Prices are read live, not quoted from memory.	free
`check_limits`	Token balance, free quota left and when it resets, upload cap, whether PRO modules are available.	free
`analyze_track`	Integrated LUFS, sample peak, duration, sample rate and stereo correlation, without processing. True peak and loudness range come back from `get_job` after mastering.	free
`clean_ai_trace`	Strips the Suno / Udio AI generator fingerprint; loudness and tone stay as they are. Returns a job id.	free
`preview_styles`	Masters the middle 24 seconds in 2–6 presets at once and returns each one's loudness and a listen link.	free, 6 per day
`master_track`	Masters one track. Costs 1 token when the account has a balance; otherwise it runs on the free quota without PRO modules. Returns a job id. Pass `dry_run=true` to see the price and effective settings first.	1 token
`batch_master`	Masters up to 10 tracks in one call with the same settings. `album_mode` (default `true`) keeps relative loudness between tracks. Returns one job id per track.	1 token per track
`get_job`	Status, progress and result metrics (`after_lufs`, `true_peak_db`, `lra`, `platform_ready`) for a mastering, cleanup or preview job. Includes a signed `download_url` when a master is done.	free
`create_topup_link`	Prepares a token checkout for the human. The agent cannot complete the payment itself.	free

Typical flow: analyze_track → (clean_ai_trace for AI-generated tracks) → optionally preview_styles → master_track → poll get_job.

Endpoints and authentication

Endpoint	Auth	Use it when
`https://magicmaster.pro/mcp`	none, or `X-API-Key: mm_…`	you write the code, you use Claude Code / Cursor / VS Code / Codex with a header, or you only need the free tools
`https://magicmaster.pro/mcp/oauth`	OAuth 2.1 (authorization code + PKCE `S256`, scope `mastering`)	your client cannot send custom headers (Claude Desktop, ChatGPT connectors)

Without any key, the free tools work on /mcp.
On /mcp, Authorization: Bearer means an OAuth access token. An account JWT sent there returns 401, and it breaks even the free calls. Use X-API-Key on /mcp, or connect through /mcp/oauth.
/mcp/oauth answers an unauthenticated request with 401 and a WWW-Authenticate challenge pointing at https://magicmaster.pro/.well-known/oauth-protected-resource, so a compliant client starts the sign-in on its own.
OAuth metadata: /.well-known/oauth-authorization-server; dynamic client registration: /oauth/register. Access tokens last one hour; refresh tokens rotate on every use. Tokens are issued for the resource https://magicmaster.pro/mcp only.
API keys (mm_…) are issued in the profile after a token purchase; up to 10 active keys.

Install

Claude Code

claude mcp add --transport http magicmaster https://magicmaster.pro/mcp

Free tools work immediately. For the paid tools, add your key:

claude mcp add --transport http magicmaster https://magicmaster.pro/mcp --header "X-API-Key: mm_YOUR_KEY"

Claude Desktop and claude.ai (custom connector, OAuth)

Settings → Connectors → *Add custom connector* → URL https://magicmaster.pro/mcp/oauth → sign in on the consent page. Use https://magicmaster.pro/mcp if you only need the free tools.

Claude Desktop through a stdio bridge (if you prefer the config file)

"mcpServers": { "magicmaster": { "command": "npx", "args": ["-y", "mcp-remote", "https://magicmaster.pro/mcp/oauth"] } } }

Cursor (`.cursor/mcp.json`)

{ "mcpServers": { "magicmaster": { "url": "https://magicmaster.pro/mcp" } } }

VS Code (`.vscode/mcp.json`)

{ "servers": { "magicmaster": { "type": "http", "url": "https://magicmaster.pro/mcp" } } }

OpenAI Codex (`~/.codex/config.toml`)

[mcp_servers.magicmaster]

url = "https://magicmaster.pro/mcp"

ChatGPT (Developer mode → Connectors → Create): URL https://magicmaster.pro/mcp/oauth, authentication OAuth.

stdio-only clients — the npm package wraps the same bridge:

{ "mcpServers": { "magicmaster": { "command": "npx", "args": ["-y", "magicmaster-mcp"] } } }

The bridge points at https://magicmaster.pro/mcp/oauth by default. Set MAGICMASTER_MCP_URL=https://magicmaster.pro/mcp to use the anonymous endpoint instead.

One-click buttons: Add to Cursor · VS Code: vscode:mcp/install?{"name":"magicmaster","type":"http","url":"https://magicmaster.pro/mcp"}

Docker

For clients without Node, and for the Glama build that runs security checks:

docker build -t magicmaster-mcp .

docker run -i --rm magicmaster-mcp

The image holds only the bridge; the server itself stays hosted at https://magicmaster.pro/mcp. It is built from this repository (npm ci), so mcp-remote is baked in and the container needs only outbound HTTPS to magicmaster.pro at run time. The image defaults to the anonymous endpoint. To use OAuth (which also unlocks the paid tools), run it with -e MAGICMASTER_MCP_URL=https://magicmaster.pro/mcp/oauth.

Build spec for a Glama release (the platform configures the recipe on its side, it does not read this Dockerfile):

build steps: npm ci --omit=dev
start command: node bin/magicmaster-mcp.js
environment: MAGICMASTER_MCP_URL=https://magicmaster.pro/mcp

Free vs tokens

Free, no account: analyze_track, clean_ai_trace, preview_styles (6 per day), get_job, get_pricing, list_presets, get_service_info, check_limits, create_topup_link.
Guest mastering (no account): 3 basic masters per calendar month per IP. Basic means no PRO modules.
Free account: 1 master per UTC day (3 during the first 24 hours after sign-up). Also basic.
Trial for agents: registering an agent once (POST /api/agents/register, with the account's JWT as Authorization: Bearer) grants 3 full PRO masters and an API key. The MCP connector does not grant the trial; only that call does. See agents.md.
Tokens: 1 token = 1 full PRO master (any preset, all PRO modules, any export format). Tokens never expire. There are no subscriptions. Some packs include bonus tokens. Live packs and prices: get_pricing (RUB) or GET https://magicmaster.pro/api/tokens/packages.
Payment needs the human. An agent cannot complete a card payment. Call create_topup_link, hand the checkout link to the person, then poll check_limits until the balance is credited. A card issued outside Russia may be declined; see https://magicmaster.pro/wallet.
master_track and batch_master accept dry_run=true, which reports the price and the effective settings without spending anything.

Formats, limits and retention

Input (from agent.json): aac, aif, aiff, amr, flac, m4a, mp3, ogg, wav, webm. Detection is by content.
Output: wav, wav24, mp3, flac, opus, aac. MP3 bitrates 128/192/256/320; Opus 128/192.
Upload caps: on the site and API, 160 MB without payment; after a token purchase up to 1000 MB (WAV). Through this MCP server, master_track and batch_master accept up to 100 MB per file and batch_master up to 300 MB per call (10 tracks). check_limits returns the effective per-channel ceiling (max_upload_mb_via_mcp).
Audio source: a public https URL (audio_url). Share links to Suno/Udio song pages, Google Drive and Dropbox are resolved to the file.
Retention of finished masters: guest results are kept only briefly (in memory); free accounts 1 day; after a token purchase 30 days. get_job returns a signed download_url for about an hour, which works without credentials.
Typical time: 20–60 s per master; up to 10 minutes for a long track with restoration. Poll get_job, or pass webhook_url to master_track to get a POST instead.

Mastering options

Presets (24, from list_presets): e.g. standard (−14 LUFS), edm (−9), pop (−12), hiphop (−13), podcast (−16), unlimiter (−12), voice (−16), audiobook (−19). Use preview_styles to compare two to six of them on 24 seconds for free.
Target loudness: target_lufs overrides the preset, e.g. -14 for Spotify. True Peak limiting follows ITU-R BS.1770-5.
Output: out_format, bitrate, dither_type (tpdf, ns_e, ns_itu, for 16-bit WAV).
Density: intensity from 0.5 (gentler) to 1.5 (denser); 1.0 is the preset as designed.
Restoration: restore_dynamics opens up a brickwalled source before mastering (pairs with the unlimiter preset). denoise_strength (0–1) sets noise reduction; 0 disables it. The web restoration page also lists de-hum and de-click steps, which the MCP tools do not expose by name.
Suno / Udio cleanup: remove_watermark=true on master_track and batch_master also removes the AI fingerprint, free of charge. The standalone tool is clean_ai_trace.
Album mode: batch_master with album_mode (default true): the loudest track hits the target and the others keep their offsets, so a quiet interlude is not inflated to single level. Use album_mode=false for unrelated singles.

What is not in MCP

These features are on the website (or in the API) but are not MCP tools:

Stem mastering (2–8 stems combined and mastered as one track): API POST /api/v2/master/stems, 1 token.
Free vocal removal and stem split on the web: https://magicmaster.pro/stems-separation (free; a free account gets four stems).
Key changer, −6…+6 semitones, free: https://magicmaster.pro/tools/key-changer.
Audio cutter, free: https://magicmaster.pro/tools/audio-cutter.
Clipping check (free) and De-clipper: https://magicmaster.pro/declipper.
Release-ready check: https://magicmaster.pro/release-ready. Not launched yet: requests are open, nothing is charged.
Mi

只显示了开头部分；其余内容请在仓库中阅读

Magic Master — Audio Mastering

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“设计、图片与音频”中的其他服务器比较i

常见问题

替代选择

Figma Context MCP

Claude Real Video

Figma MCP Server

作者的 README

Magic Master MCP — audio mastering for AI agents

Tools

Endpoints and authentication

Install

Docker

Free vs tokens

Formats, limits and retention

Mastering options

What is not in MCP